# Upwork Job Scraper (`powerai/upwork-job-scraper`) Actor

Scrape Upwork job listings with keyword or search-URL filters. Get titles, budgets, skills, client signals, and posting times in structured JSON.

- **URL**: https://apify.com/powerai/upwork-job-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Jobs, Integrations, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Upwork Job Scraper

Scrape public Upwork job listings with keyword search or a raw Upwork search URL. Filter by experience, payment type, budget, client history, location, and more — then export structured job data.

### ✨ Key Features

- 🔎 Search by **keywords** or paste a full **Upwork search URL**
- 🧰 Filters: experience level, fixed/hourly, budget ranges, client hire history, location
- ✅ Optional **payment-verified** clients only
- ⏱️ Sort by newest/relevance and limit by **max job age**
- 🧩 Advanced **match rules** on title, description, skills, eligible countries, and more
- 📋 Structured JSON output, streamed while the run is in progress

### 💪 Why Choose This Actor?

- **Focused**: Upwork job listings with practical filters
- **Flexible**: Query builder or raw search URL
- **Structured**: Renamed, integration-friendly field names
- **Practical**: Built for freelancers, agencies, and market research

### 🎯 Perfect For

- 🎯 Targeted job hunting and alerts
- 📊 Niche demand / rate research
- 🕵️ Competitor and skill-trend monitoring
- 🤖 Automation and enrichment pipelines

### 📝 Input Requirements

Provide at least one of:

- `searchQuery` — keywords to search
- `searchUrl` — Upwork jobs search URL (`nx/search/jobs`)

Optional filters include `experienceLevels`, `paymentTypes`, `requirePaymentVerified`, budget ranges, `clientLocations`, `sortBy`, paging, max age, and `matchRules`.

#### Input Example

```json
{
  "searchQuery": "web scraping",
  "experienceLevels": ["intermediate", "expert"],
  "paymentTypes": ["fixed", "hourly"],
  "requirePaymentVerified": true,
  "maxPages": 1,
  "jobsPerPage": 50,
  "sortBy": "newest",
  "maxAgeValue": 24,
  "maxAgeUnit": "hours"
}
```

#### Output Example

```json
{
  "title": "Build a web scraping pipeline",
  "paymentType": "Hourly",
  "experienceLevel": "Expert",
  "budget": "$30-$50/hr",
  "skills": ["Python", "Scrapy", "API"],
  "paymentVerified": true,
  "clientLocation": "United States",
  "postedRelative": "2 hours ago",
  "jobUrl": "https://www.upwork.com/jobs/~01...",
  "scrapedAt": "2026-08-04T07:30:00.000Z"
}
```

### 🚀 How to Use

1. Enter a search query and/or paste an Upwork search URL
2. Optionally add filters, paging, and match rules
3. Click **Start**
4. Download results as JSON, CSV, Excel, or HTML

### 📌 Notes

- When `searchUrl` is set, it overrides constructed search parameters
- Session cookies are optional; authenticated scraping works by default without them
- Estimated result size is roughly `maxPages × jobsPerPage`

# Actor input Schema

## `searchQuery` (type: `string`):

Keywords to search for in Upwork jobs. Optional if Search URL is provided.

## `searchUrl` (type: `string`):

Optional Upwork jobs search URL (must be from upwork.com and include nx/search/jobs). When set, it overrides constructed search parameters.

## `experienceLevels` (type: `array`):

Filter by required experience level.

## `paymentTypes` (type: `array`):

Filter by fixed-price and/or hourly jobs.

## `requirePaymentVerified` (type: `boolean`):

Only include jobs from clients with verified payment methods.

## `fixedBudgetRange` (type: `array`):

Min and max fixed-price budget in USD, e.g. 100 and 1000.

## `hourlyBudgetRange` (type: `array`):

Min and max hourly rate in USD/hour, e.g. 20 and 50.

## `clientHireHistory` (type: `array`):

Filter by how many people the client has hired before.

## `clientLocations` (type: `array`):

Filter by client region, subregion, or country, e.g. United States, Europe, Australia.

## `sortBy` (type: `string`):

Sort job listings by newest or relevance.

## `startPage` (type: `integer`):

Page number to start scraping from.

## `maxPages` (type: `integer`):

How many pages to scrape starting from Start page.

## `jobsPerPage` (type: `integer`):

Number of jobs requested per page (minimum 10).

## `maxAgeValue` (type: `integer`):

Only keep jobs newer than this age value (combined with Max job age unit).

## `maxAgeUnit` (type: `string`):

Unit for Max job age value.

## `matchRules` (type: `array`):

Advanced filters on job fields as JSON objects. Each rule needs key, operator (includes / equals / notIncludes / notEquals), and value (string, string array, or null). Example keys: title, description, tags, experienceLevel, allowedApplicantCountries.

## `sessionCookies` (type: `array`):

Optional override cookies if you prefer your own Upwork session. Usually not needed — authenticated scraping works by default. Provide JSON objects with name and value (e.g. master\_access\_token).

## Actor input object example

```json
{
  "searchQuery": "web scraping",
  "requirePaymentVerified": false,
  "sortBy": "newest",
  "startPage": 1,
  "maxPages": 1,
  "jobsPerPage": 50
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "web scraping",
    "requirePaymentVerified": false,
    "sortBy": "newest",
    "startPage": 1,
    "maxPages": 1,
    "jobsPerPage": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/upwork-job-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "web scraping",
    "requirePaymentVerified": False,
    "sortBy": "newest",
    "startPage": 1,
    "maxPages": 1,
    "jobsPerPage": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/upwork-job-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "web scraping",
  "requirePaymentVerified": false,
  "sortBy": "newest",
  "startPage": 1,
  "maxPages": 1,
  "jobsPerPage": 50
}' |
apify call powerai/upwork-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/upwork-job-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7IwVysUhhRilbLG7Q/builds/Gs30QgeG0tqrsSA3f/openapi.json